Image and Video Analysis

The Image and Video Analysis (IVA) team is a research team within IVML Laboratory at National Technical University of Athens. It focuses on basic research and applications of computer vision, machine learning and information retrieval to analyze, interpret, and search static and moving images (video).

The team studies and develops methods for local feature and salient region detection, spatial and spatiotemporal visual representation and matching, object recognition and tracking, action recognition in video, scene classification, image/video indexing, retrieval and summarization. The analysis process often includes information from other modalities like text and numeric data.

The latest achievements of the team include highly repeatable feature detection, extremely fast spatial matching, geometry indexing, multi-view and single-view feature selection, approximate nearest neighbor search for large scale clustering and vocabulary construction, and mining 3d scenes from millions of images. Most implementations are based on our generic C++ library ivl.

Applications include web image/video search, organization of personal and community photo collections, video exploration, visual surveillance, industrial visual inspection, and indexing of image/video archives. To get an idea, see our unique application VIRaL.